Zobrazeno 1 - 10
of 200
pro vyhledávání: '"ZHENG Yupeng"'
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 46, Iss 1, Pp 21-29 (2024)
A dynamic obstacle avoidance algorithm is proposed for the obstacle avoidance problem in the cruise task of unmanned boat cluster. Firstly, the square grid trajectory cell (SGTC) situation matrix of the waters around the unmanned surface vessle is ob
Externí odkaz:
https://doaj.org/article/1e38204134de48378a3509768b5812e8
Publikováno v:
Zhejiang dianli, Vol 42, Iss 4, Pp 9-16 (2023)
Device clamps are used for connecting and fastening lines， and their health condition directly affects the reliability of power supply. In view of the line faults largely caused by the failure of device clamps under marine environment， the clamp
Externí odkaz:
https://doaj.org/article/57bb0778707e4e938f04734feeaa3609
Autor:
Zheng, Yupeng, Xing, Zebin, Zhang, Qichao, Jin, Bu, Li, Pengfei, Zheng, Yuhang, Xia, Zhongpu, Zhan, Kun, Lang, Xianpeng, Chen, Yaran, Zhao, Dongbin
Vehicle motion planning is an essential component of autonomous driving technology. Current rule-based vehicle motion planning methods perform satisfactorily in common scenarios but struggle to generalize to long-tailed situations. Meanwhile, learnin
Externí odkaz:
http://arxiv.org/abs/2406.01587
Autor:
Jin, Bu, Zheng, Yupeng, Li, Pengfei, Li, Weize, Zheng, Yuhang, Hu, Sujie, Liu, Xinyu, Zhu, Jinwei, Yan, Zhijie, Sun, Haiyang, Zhan, Kun, Jia, Peng, Long, Xiaoxiao, Chen, Yilun, Zhao, Hao
3D dense captioning stands as a cornerstone in achieving a comprehensive understanding of 3D scenes through natural language. It has recently witnessed remarkable achievements, particularly in indoor settings. However, the exploration of 3D dense cap
Externí odkaz:
http://arxiv.org/abs/2403.19589
Autor:
Yan, Zhiqiang, Lin, Yuankai, Wang, Kun, Zheng, Yupeng, Wang, Yufei, Zhang, Zhenyu, Li, Jun, Yang, Jian
Depth completion is a vital task for autonomous driving, as it involves reconstructing the precise 3D geometry of a scene from sparse and noisy depth measurements. However, most existing methods either rely only on 2D depth representations or directl
Externí odkaz:
http://arxiv.org/abs/2403.15008
Autor:
Zheng, Yuhang, Chen, Xiangyu, Zheng, Yupeng, Gu, Songen, Yang, Runyi, Jin, Bu, Li, Pengfei, Zhong, Chengliang, Wang, Zengmao, Liu, Lina, Yang, Chao, Wang, Dawei, Chen, Zhen, Long, Xiaoxiao, Wang, Meiqing
Constructing a 3D scene capable of accommodating open-ended language queries, is a pivotal pursuit, particularly within the domain of robotics. Such technology facilitates robots in executing object manipulations based on human language directives. T
Externí odkaz:
http://arxiv.org/abs/2403.09637
Autor:
Zheng, Yupeng, Li, Xiang, Li, Pengfei, Zheng, Yuhang, Jin, Bu, Zhong, Chengliang, Long, Xiaoxiao, Zhao, Hao, Zhang, Qichao
Monocular Semantic Occupancy Prediction aims to infer the complete 3D geometry and semantic information of scenes from only 2D images. It has garnered significant attention, particularly due to its potential to enhance the 3D perception of autonomous
Externí odkaz:
http://arxiv.org/abs/2403.08766
Autor:
Long, Xiaoxiao, Zheng, Yuhang, Zheng, Yupeng, Tian, Beiwen, Lin, Cheng, Liu, Lingjie, Zhao, Hao, Zhou, Guyue, Wang, Wenping
We introduce a novel approach to learn geometries such as depth and surface normal from images while incorporating geometric context. The difficulty of reliably capturing geometric context in existing methods impedes their ability to accurately enfor
Externí odkaz:
http://arxiv.org/abs/2402.05869
Autor:
Tian, Beiwen, Gao, Huan-ang, Cui, Leiyao, Zheng, Yupeng, Luo, Lan, Wang, Baofeng, Zhi, Rong, Zhou, Guyue, Zhao, Hao
In the past several years, road anomaly segmentation is actively explored in the academia and drawing growing attention in the industry. The rationale behind is straightforward: if the autonomous car can brake before hitting an anomalous object, safe
Externí odkaz:
http://arxiv.org/abs/2401.04942
Autor:
Zhong, Chengliang, Zheng, Yuhang, Zheng, Yupeng, Zhao, Hao, Yi, Li, Mu, Xiaodong, Wang, Ling, Li, Pengfei, Zhou, Guyue, Yang, Chao, Zhang, Xinliang, Zhao, Jian
Keypoint-based representation has proven advantageous in various visual and robotic tasks. However, the existing 2D and 3D methods for detecting keypoints mainly rely on geometric consistency to achieve spatial alignment, neglecting temporal consiste
Externí odkaz:
http://arxiv.org/abs/2309.05098